# Maze

> Maze is a web-scale video deduplication system that relies on large-scale approximate nearest neighbor vector search over video embeddings to detect and remove duplicate or near-duplicate videos efficiently. While not a general-purpose vector database, it represents a specialized, production-scale application of vector search infrastructure for multimedia content management.

- **URL:** https://maze.co/
- **Category:** research-papers-surveys
- **Tags:** Ann, applications, Multimodal
- **Updated:** 2025-12-25 16:52
- **Canonical page:** https://vectordb.ever.works/items/maze

## Details

# Maze

**Website:** https://maze.co/  
**Category:** Research platforms / User research & testing  
**Type:** SaaS product (end-to-end user research platform)

## Description
Maze is an end-to-end user research platform that enables teams to recruit participants, run a wide range of qualitative and quantitative studies, and analyze insights in one place. It supports everything from prototype and usability testing to interviews and large-scale surveys, with built-in participant recruitment, AI-assisted analysis, and automated reporting.

## Features

### Participant Recruitment & Management
- Access to a participant panel of over 6 million people
- Support for both B2B and B2C participants
- In-product prompts for recruiting or triggering research directly inside digital products
- Participant management tools for organizing and tracking participants
- Screener questions for targeting and qualifying participants

### Research Methods & Study Types
- Prototype testing
- Live website testing
- Mobile testing
- Moderated interviews
- One-on-one interviews
- Surveys (including large-scale quantitative studies)
- Card sorting
- Tree testing
- Concept and idea validation
- Wireframe and usability testing
- Content and copy testing
- Feedback and satisfaction studies

### AI & Automation
- AI Moderator to support or automate aspects of moderated research
- Maze AI for assisting with analysis and insights
- AI-powered themes to automatically cluster and organize findings
- AI transcripts for recorded interviews and sessions

### Analysis, Reporting & Knowledge Sharing
- Automated reports summarizing key findings
- Video clips and interview clips extracted from sessions
- Interview highlights for fast review of key moments
- Easily embeddable results for sharing insights across tools and stakeholders
- Centralized hub where all discoveries and studies are stored and accessible

### Templates & Tools
- Library of pre-built, customizable study templates (“mazes”)
- Question bank for quickly composing research studies

### Coverage Across Workflow
- Recruit participants (panel, prompts, screening, management)
- Build and conduct research (surveys, testing, interviews, card sorting, tree testing)
- Analyze and learn (AI analysis, automated reports, clips and highlights)

## Use Cases
- Concept and idea validation
- Wireframe and usability testing
- Content and copy testing
- Measuring user satisfaction, feedback, and sentiment
- Continuous discovery and product research across teams

## Target Users & Industries
- Roles:
  - User researchers
  - Product designers
  - Product managers
- Industries:
  - Financial services
  - Tech & software
  - Insurance
  - Other digital product organizations

## Pricing
A dedicated pricing page is available (https://maze.co/pricing/), but specific plans and prices are not detailed in the provided content.

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